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Academic article descriptive statistics.
Feature Articles on Employment and Labour - Statistics on Job Vacancies
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This study estimates the effect of data sharing on the citations of academic articles, using journal policies as a natural experiment. We begin by examining 17 high-impact journals that have adopted the requirement that data from published articles be publicly posted. We match these 17 journals to 13 journals without policy changes and find that empirical articles published just before their change in editorial policy have citation rates with no statistically significant difference from those published shortly after the shift. We then ask whether this null result stems from poor compliance with data sharing policies, and use the data sharing policy changes as instrumental variables to examine more closely two leading journals in economics and political science with relatively strong enforcement of new data policies. We find that articles that make their data available receive 97 additional citations (estimate standard error of 34). We conclude that: a) authors who share data may be rewarded eventually with additional scholarly citations, and b) data-posting policies alone do not increase the impact of articles published in a journal unless those policies are enforced.
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Pen-and-paper homework and project-based learning are both commonly used instructional methods in introductory statistics courses. However, there have been few studies comparing these two methods exclusively. In this case study, each was used in two different sections of the same introductory statistics course at a regional state university. Students’ statistical literacy was measured by exam scores across the course, including the final. The comparison of the two instructional methods includes using descriptive statistics and two-sample t-tests, as well authors’ reflections on the instructional methods. Results indicated that there is no statistically discernible difference between the two instructional methods in the introductory statistics course.
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This dataset provides the data underlying the scientific article "Researchers’ willingness and ability to openly share their research data: a survey of COVID-19 pandemic-related factors". The abstract of the article is as follows: While previous studies show that the drivers and inhibitors for openly sharing research data are diverse and complex, there is a lack of studies empirically examining the influence of the COVID-19 pandemic on researchers’ open data sharing behavior. Using a questionnaire (n=135), this study investigates the influence of COVID-19 pandemic-related factors on researchers’ willingness and ability to openly share their research data. Fifty-one respondents (37.8%) stated that factors related to the COVID-19 pandemic increased their willingness and ability to openly share their research data, while 80 (59.3%) reported that various pandemic-related factors did not influence their willingness and ability in this way. As one of the possible influencing factors, this study finds a significant association between the COVID-19-relatedness of researchers’ research discipline and whether or not the COVID-19 pandemic led to a change in their willingness and ability to share their research data openly: χ2 (1) = 5.77, p < .05. Social influences on open data sharing behavior, institutional support for open data sharing, and the fear of potential negative consequences of open data sharing were nearly similar for the respondents who were and were not involved in COVID-19-related research. This study contributes scientifically by going beyond conceptual studies as it provides empirically-based insights concerning the influence of COVID-19 pandemic-related factors on researchers’ willingness and ability to openly share their data. As a practical contribution, this study discusses recommendations that policymakers can use to sustainably support open research data sharing in post-COVID-19 times.
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The data set contains count of number of articles published by Covenant University Lecturers, in Ota, Ogun State, Nigeria. The dataset contains a sample of 126 lecturers comprising 99 from College of Business and Social Sciences, and 27 from College of Leadership. The dataset include the number of articles published by the lecturers from 2013-2015. The response variable was the number of article produced by lecturers (NOP) which was obtained by counting. Predictors are Gender of lecturers (SEX), male was coded 1, and female as 0, marital status (MS), married was coded as 1 and single as 0, number of children each lecturer have (CHD), years of teaching/lecturing experience (EXP), cadre indicating whether senior or junior lecturer, Assistant lecturer and lecturer II are categorized as Lower cadre, and coded as 0, while lecturer I up to professor are categorize as higher cadre, and coded as 1. Another predictor is number of undergraduate course(s) taught within the period of observation (UGC), and number of postgraduate course(s) taught within the period of observation (UPC).
Feature Articles on Employment and Labour - Salary Statistics of Middle-Level Managerial and Professional Employees
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What do the alt-metrics of figshare items tell us? This dataset lists Altmetric data for the top 100 figshare repository items, categorised by type (retrieved on 9 March 2013). The data appear in an Interactions post on the Altmetric blog.
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Data and codes for reproducing the MCMC inferences, tables and the main figures described in Kwame Adrakey et al. 2023. Bayesian inference for spatio-temporal stochastic transmission of plant disease in the presence of roguing: a case study to estimate the dispersal distance of Flavescence dorée. The codes are written in C and R languages.
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Statistics illustrates consumption, production, prices, and trade of Household and Sanitary Articles of Paper in Holy See from 2007 to 2024.
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The final dataset and Supplementtary tables regarding to research entitled "Gross motor skills trajectory variation between WEIRD and LMIC countries: A Cross-cultural study" are available.
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China Other Daily Sundry Article: Account Receivable data was reported at 9.647 RMB bn in Oct 2015. This records an increase from the previous number of 9.364 RMB bn for Sep 2015. China Other Daily Sundry Article: Account Receivable data is updated monthly, averaging 7.258 RMB bn from Dec 2003 (Median) to Oct 2015, with 97 observations. The data reached an all-time high of 9.781 RMB bn in Jul 2015 and a record low of 2.043 RMB bn in Dec 2003. China Other Daily Sundry Article: Account Receivable data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIM: Daily Sundry Article: Other Daily Sundry Article.
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This dataset is a collection of:
1. The final SPSS dataset concerning the 171 Open Government Data Initiatives (OGDIs) analysed in this study;
2. The SPSS Output;
3. The Questionnaire used to collect information concerning the OGDIs;
4. An Excel file with an overview of key information concerning the 171 selected OGDIs.Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Italy Exports of statuettes and other ornamental ceramic articles to Slovakia was US$46.46 Thousand during 2024, according to the United Nations COMTRADE database on international trade. Italy Exports of statuettes and other ornamental ceramic articles to Slovakia - data, historical chart and statistics - was last updated on July of 2025.
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Question Paper Solutions of chapter Descriptive Statistics of Probability and Statistics, 2nd Semester , Master of Computer Applications (2 Years)
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Romania Exports of statuettes and other ornamental ceramic articles to Croatia was US$41.7 Thousand during 2024, according to the United Nations COMTRADE database on international trade. Romania Exports of statuettes and other ornamental ceramic articles to Croatia - data, historical chart and statistics - was last updated on June of 2025.
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Norway Exports of ceramic articles not specified elsewhere to India was US$15.86 Thousand during 2010, according to the United Nations COMTRADE database on international trade. Norway Exports of ceramic articles not specified elsewhere to India - data, historical chart and statistics - was last updated on June of 2025.
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Background This bibliometric analysis examines the top 50 most-cited articles on COVID-19 complications, offering insights into the multifaceted impact of the virus. Since its emergence in Wuhan in December 2019, COVID-19 has evolved into a global health crisis, with over 770 million confirmed cases and 6.9 million deaths as of September 2023. Initially recognized as a respiratory illness causing pneumonia and ARDS, its diverse complications extend to cardiovascular, gastrointestinal, renal, hematological, neurological, endocrinological, ophthalmological, hepatobiliary, and dermatological systems. Methods Identifying the top 50 articles from a pool of 5940 in Scopus, the analysis spans November 2019 to July 2021, employing terms related to COVID-19 and complications. Rigorous review criteria excluded non-relevant studies, basic science research, and animal models. The authors independently reviewed articles, considering factors like title, citations, publication year, journal, impact factor, authors, study details, and patient demographics. Results The focus is primarily on 2020 publications (96%), with all articles being open-access. Leading journals include The Lancet, NEJM, and JAMA, with prominent contributions from Internal Medicine (46.9%) and Pulmonary Medicine (14.5%). China played a major role (34.9%), followed by France and Belgium. Clinical features were the primary study topic (68%), often utilizing retrospective designs (24%). Among 22,477 patients analyzed, 54.8% were male, with the most common age group being 26–65 years (63.2%). Complications affected 13.9% of patients, with a recovery rate of 57.8%. Conclusion Analyzing these top-cited articles offers clinicians and researchers a comprehensive, timely understanding of influential COVID-19 literature. This approach uncovers attributes contributing to high citations and provides authors with valuable insights for crafting impactful research. As a strategic tool, this analysis facilitates staying updated and making meaningful contributions to the dynamic field of COVID-19 research. Methods A bibliometric analysis of the most cited articles about COVID-19 complications was conducted in July 2021 using all journals indexed in Elsevier’s Scopus and Thomas Reuter’s Web of Science from November 1, 2019 to July 1, 2021. All journals were selected for inclusion regardless of country of origin, language, medical speciality, or electronic availability of articles or abstracts. The terms were combined as follows: (“COVID-19” OR “COVID19” OR “SARS-COV-2” OR “SARSCOV2” OR “SARS 2” OR “Novel coronavirus” OR “2019-nCov” OR “Coronavirus”) AND (“Complication” OR “Long Term Complication” OR “Post-Intensive Care Syndrome” OR “Venous Thromboembolism” OR “Acute Kidney Injury” OR “Acute Liver Injury” OR “Post COVID-19 Syndrome” OR “Acute Cardiac Injury” OR “Cardiac Arrest” OR “Stroke” OR “Embolism” OR “Septic Shock” OR “Disseminated Intravascular Coagulation” OR “Secondary Infection” OR “Blood Clots” OR “Cytokine Release Syndrome” OR “Paediatric Inflammatory Multisystem Syndrome” OR “Vaccine Induced Thrombosis with Thrombocytopenia Syndrome” OR “Aspergillosis” OR “Mucormycosis” OR “Autoimmune Thrombocytopenia Anaemia” OR “Immune Thrombocytopenia” OR “Subacute Thyroiditis” OR “Acute Respiratory Failure” OR “Acute Respiratory Distress Syndrome” OR “Pneumonia” OR “Subcutaneous Emphysema” OR “Pneumothorax” OR “Pneumomediastinum” OR “Encephalopathy” OR “Pancreatitis” OR “Chronic Fatigue” OR “Rhabdomyolysis” OR “Neurologic Complication” OR “Cardiovascular Complications” OR “Psychiatric Complication” OR “Respiratory Complication” OR “Cardiac Complication” OR “Vascular Complication” OR “Renal Complication” OR “Gastrointestinal Complication” OR “Haematological Complication” OR “Hepatobiliary Complication” OR “Musculoskeletal Complication” OR “Genitourinary Complication” OR “Otorhinolaryngology Complication” OR “Dermatological Complication” OR “Paediatric Complication” OR “Geriatric Complication” OR “Pregnancy Complication”) in the Title, Abstract or Keyword. A total of 5940 articles were accessed, of which the top 50 most cited articles about COVID-19 and Complications of COVID-19 were selected through Scopus. Each article was reviewed for its appropriateness for inclusion. The articles were independently reviewed by three researchers (JRP, MAM and TS) (Table 1). Differences in opinion with regard to article inclusion were resolved by consensus. The inclusion criteria specified articles that were focused on COVID-19 and Complications of COVID-19. Articles were excluded if they did not relate to COVID-19 and or complications of COVID-19, Basic Science Research and studies using animal models or phantoms. Review articles, Viewpoints, Guidelines, Perspectives and Meta-analysis were also excluded from the top 50 most-cited articles (Table 1). The top 50 most-cited articles were compiled in a single database and the relevant data was extracted. The database included: Article Title, Scopus Citations, Year of Publication, Journal, Journal Impact Factor, Authors, Number of Authors, Department Affiliation, Number of Institutions, Country of Origin, Study Topic, Study Design, Sample Size, Open Access, Non-Original Articles, Patient/Participants Age, Gender, Symptoms, Signs, Co-morbidities, Complications, Imaging Modalities Used and outcome.
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United States Exports of other articles of glass to Panama was US$182.85 Thousand during 2024, according to the United Nations COMTRADE database on international trade. United States Exports of other articles of glass to Panama - data, historical chart and statistics - was last updated on July of 2025.
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Indonesia Exports of other articles of glass to Ecuador was US$853 during 2023, according to the United Nations COMTRADE database on international trade. Indonesia Exports of other articles of glass to Ecuador - data, historical chart and statistics - was last updated on June of 2025.
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Academic article descriptive statistics.